• DocumentCode
    1505003
  • Title

    A Novel Interface for Interactive Exploration of DTI Fibers

  • Author

    Chen, Wei ; Ding, Zi Ang ; Zhang, Song ; MacKay-Brandt, Anna ; Correia, Stephen ; Qu, Huamin ; Crow, John Allen ; Tate, David F. ; Yan, Zhicheng ; Peng, Qunsheng

  • Author_Institution
    State Key Lab. of CAD & CG, Zhejiang Univ., Hangzhou, China
  • Volume
    15
  • Issue
    6
  • fYear
    2009
  • Firstpage
    1433
  • Lastpage
    1440
  • Abstract
    Visual exploration is essential to the visualization and analysis of densely sampled 3D DTI fibers in biological speciments, due to the high geometric, spatial, and anatomical complexity of fiber tracts. Previous methods for DTI fiber visualization use zooming, color-mapping, selection, and abstraction to deliver the characteristics of the fibers. However, these schemes mainly focus on the optimization of visualization in the 3D space where cluttering and occlusion make grasping even a few thousand fibers difficult. This paper introduces a novel interaction method that augments the 3D visualization with a 2D representation containing a low-dimensional embedding of the DTI fibers. This embedding preserves the relationship between the fibers and removes the visual clutter that is inherent in 3D renderings of the fibers. This new interface allows the user to manipulate the DTI fibers as both 3D curves and 2D embedded points and easily compare or validate his or her results in both domains. The implementation of the framework is GPU based to achieve real-time interaction. The framework was applied to several tasks, and the results show that our method reduces the user´s workload in recognizing 3D DTI fibers and permits quick and accurate DTI fiber selection.
  • Keywords
    biology computing; biomedical MRI; data visualisation; 2D representation; 3D visualization; DTI fibers; biological speciments; cluttering; fiber tracts anatomical complexity; interactive exploration; occlusion; visual exploration; visualization optimization; Biological tissues; Computer science; Diffusion tensor imaging; Grasping; Magnetic field measurement; Magnetic resonance imaging; Rendering (computer graphics); Tensile stress; Velocity measurement; Visualization; Diffusion Tensor Imaging; Fiber Clustering; Fibers; Visualization Interface; Algorithms; Animals; Brain; Cluster Analysis; Computer Graphics; Diffusion Magnetic Resonance Imaging; Heart; Hindlimb; Models, Biological; Myofibrils; Nerve Fibers; Swine; User-Computer Interface;
  • fLanguage
    English
  • Journal_Title
    Visualization and Computer Graphics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1077-2626
  • Type

    jour

  • DOI
    10.1109/TVCG.2009.112
  • Filename
    5290758